It is significant for a ship to diagnose and forecast the failures of facilities as early as possible. Because equipments in a ship are so many and the running conditions of them are so special, the traditional fault diagnosis methods are no more efficient in practice. Thus a new ship fault diagnosis method applying fuzzy C-mean clustering arithmetic is introduced in this paper. Based on the principle of it, we studied how to diagnose failures of an engine at the early time.


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    Titel :

    Application of Fuzzy C-Mean Clustering Arithmetic in Ship Fault Diagnosis


    Beteiligte:
    Han, Xinjie (Autor:in) / Wang, Zuwen (Autor:in) / Meng, Xianyao (Autor:in) / Meng, Song (Autor:in)

    Kongress:

    First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    09.07.2007




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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